Microsoft Corporation Interview Questions, Process, and Tips

Q1. Explain Decision Trees
Ans. 
Decision Trees are a popular machine learning algorithm used for classification and regression tasks.
• Decision Trees are a tree-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.

• They are easy to interpret and visualize, making them popular for exploratory data analysis.

• Decision Trees can handle both numerical and c...read more
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Q2. How will you finetune LLMs
Ans. 
LLMs can be finetuned by adjusting hyperparameters, training on specific datasets, and using techniques like transfer learning.
• Adjust hyperparameters such as learning rate, batch size, and number of layers to improve performance.

• Train the LLM on domain-specific datasets to improve its understanding of specialized language.

• Utilize transfer learning by starting with a pre-trained LLM model and fine-tuning it on a smaller...read more
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Q1. Design a generic notification system.
Ans. 
Design a generic notification system.
• Define different types of notifications (email, SMS, push notifications)

• Implement a way to schedule notifications

• Allow users to customize notification preferences

• Include a logging system to track sent notifications

• Consider security measures to protect user data
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Q2. LLD for a distributed cache service.
Ans. 
LLD for a distributed cache service involves designing the architecture, data flow, and communication protocols.
• Design a scalable architecture with multiple nodes for storing and retrieving data.

• Implement data partitioning to distribute data across nodes efficiently.

• Define communication protocols for nodes to coordinate and synchronize data.

• Include mechanisms for data replication and consistency across nodes.

• Consider f...read more
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Q1. Why you are interested in working for clipchamp at Microsoft/
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Q2. How your career goals align with this role?
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